Mohammad Hajiesmaili

Orcid: 0000-0001-9278-2254

Affiliations:
  • University of Massachusetts Amherst, MA, USA


According to our database1, Mohammad Hajiesmaili authored at least 98 papers between 2009 and 2024.

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Bibliography

2024
BONES: Near-Optimal Neural-Enhanced Video Streaming.
Proc. ACM Meas. Anal. Comput. Syst., 2024

Near-Optimal Emission-Aware Online Ride Assignment Algorithm for Peak Demand Hours.
CoRR, 2024

Combinatorial Logistic Bandits.
CoRR, 2024

LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms.
CoRR, 2024

Stochastic Bandits Robust to Adversarial Attacks.
CoRR, 2024

CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management.
CoRR, 2024

Competitive Algorithms for Online Knapsack with Succinct Predictions.
CoRR, 2024

LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand.
CoRR, 2024

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms.
Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming.
Proceedings of the 15th ACM Multimedia Systems Conference, 2024

Robust Learning-Augmented Dictionaries.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Chasing Convex Functions with Long-term Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Algorithms with Uncertainty-Quantified Predictions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Time Fairness in Online Knapsack Problems.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms.
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets.
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
Proc. ACM Meas. Anal. Comput. Syst., December, 2023

Quantum Best Arm Identification.
SIGMETRICS Perform. Evaluation Rev., September, 2023

Trade-off Analysis in Learning-augmented Algorithms with Societal Design Criteria.
SIGMETRICS Perform. Evaluation Rev., September, 2023

Adversarial Attacks on Cooperative Multi-agent Bandits.
CoRR, 2023

Online Algorithms with Uncertainty-Quantified Predictions.
CoRR, 2023

Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs.
CoRR, 2023

Adversarial Attacks on Online Learning to Rank with Click Feedback.
CoRR, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
CoRR, 2023

Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Quantifying the Decarbonization Potential of Flexible Load.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Adversarial Attacks on Online Learning to Rank with Click Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No-regret Algorithms for Fair Resource Allocation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Applied Online Algorithms with Heterogeneous Predictors.
Proceedings of the International Conference on Machine Learning, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
Proceedings of the International Conference on Machine Learning, 2023

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization.
Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023

Equitable Network-Aware Decarbonization of Residential Heating at City Scale.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023

On-Demand Communication for Asynchronous Multi-Agent Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Online EV Scheduling Algorithms for Adaptive Charging Networks with Global Peak Constraints.
IEEE Trans. Sustain. Comput., 2022

Stereo: Assignment and Scheduling in MPSoC Under Process Variation by Combining Stochastic and Decomposition Approaches.
IEEE Trans. Computers, 2022

Hierarchical Learning Algorithms for Multi-scale Expert Problems.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Pareto-Optimal Learning-Augmented Algorithms for Online k-Search Problems.
CoRR, 2022

CU-Net: Efficient Point Cloud Color Upsampling Network.
CoRR, 2022

Distributed Bandits with Heterogeneous Agents.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
Competitive Algorithms for Online Multidimensional Knapsack Problems.
Proc. ACM Meas. Anal. Comput. Syst., 2021

The Online Knapsack Problem with Departures.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Competitive bidding strategies for online linear optimization with inventory management constraints.
Perform. Evaluation, 2021

Ride Substitution Using Electric Bike Sharing: Feasibility, Cost, and Carbon Analysis.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FOCAS: Practical Video Super Resolution using Foveated Rendering.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Online Peak-Aware Energy Scheduling with Untrusted Advice.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Leveraging Different Types of Predictors for Online Optimization (Invited Paper).
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Data-driven Competitive Algorithms for Online Knapsack and Set Cover.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Online Linear Optimization with Inventory Management Constraints.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options.
Proceedings of the 2020 IEEE International Conference on Cloud Engineering, 2020

Emission-aware Energy Storage Scheduling for a Greener Grid.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

2019
Online EV Charging Scheduling With On-Arrival Commitment.
IEEE Trans. Intell. Transp. Syst., 2019

Learning-Assisted Competitive Algorithms for Peak-Aware Energy Scheduling.
CoRR, 2019

Online Inventory Management with Application to Energy Procurement in Data Centers.
CoRR, 2019

Learning from Optimal: Energy Procurement Strategies for Data Centers.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Online Linear Programming with Uncertain Constraints : (Invited Paper).
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Coordinating Distribution System Resources for Co-optimized Participation in Energy and Ancillary Service Transmission System Markets.
Proceedings of the 2019 American Control Conference, 2019

2018
Peak-Aware Online Economic Dispatching for Microgrids.
IEEE Trans. Smart Grid, 2018

Impact of the Uncertainty of Distributed Renewable Generation on Deregulated Electricity Supply Chain.
IEEE Trans. Smart Grid, 2018

Energy-Efficient Timely Transportation of Long-Haul Heavy-Duty Trucks.
IEEE Trans. Intell. Transp. Syst., 2018

Multiperiod Network Rate Allocation With End-to-End Delay Constraints.
IEEE Trans. Control. Netw. Syst., 2018

An Optimal Algorithm for Online Non-Convex Learning.
Proc. ACM Meas. Anal. Comput. Syst., 2018

Competitive Online Scheduling Algorithms with Applications in Deadline-Constrained EV Charging.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Task assignment and scheduling in MPSoC under process variation: A stochastic approach.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017
Cost-Effective Low-Delay Design for Multiparty Cloud Video Conferencing.
IEEE Trans. Multim., 2017

GB-PANDAS: : Throughput and heavy-traffic optimality analysis for affinity scheduling.
SIGMETRICS Perform. Evaluation Rev., 2017

Summary of Recent Results: Crowd-Sourced Storage-Assisted Demand Response in Microgrids.
SIGMETRICS Perform. Evaluation Rev., 2017

An Optimal Randomized Online Algorithm for QoS Buffer Management.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Incentivizing Device-to-Device Load Balancing for Cellular Networks: An Online Auction Design.
IEEE J. Sel. Areas Commun., 2017

Hour-Ahead Offering Strategies in Electricity Market for Power Producers with Storage and Intermittent Supply.
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

Crowd-Sourced Storage-Assisted Demand Response in Microgrids.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Understanding the inefficiency of security-constrained economic dispatch.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Online Offering Strategies for Storage-Assisted Renewable Power Producer in Hour-Ahead Market.
CoRR, 2016

Maximum-Quality Tree Construction for Deadline-Constrained Aggregation in WSNs.
CoRR, 2016

Microgrid Revenue Maximization by Charging Scheduling of EVs in Multiple Parking Stations.
CoRR, 2016

Online microgrid energy generation scheduling revisited: the benefits of randomization and interval prediction.
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

2015
Temporal-aware rate allocation in mission-oriented WSNs with sum-rate demand guarantee.
Comput. Commun., 2015

On the construction of maximum-quality aggregation trees in deadline-constrained WSNs.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Cost-Effective Low-Delay Cloud Video Conferencing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Peak-Aware Online Economic Dispatching for Microgrids.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

Utility-optimal dynamic rate allocation under average end-to-end delay requirements.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Scenario-based quasi-static task mapping and scheduling for temperature-efficient MPSoC design under process variation.
Microprocess. Microsystems, 2014

Joint multipath rate control and scheduling for SVC streams in wireless mesh networks.
Int. J. Ad Hoc Ubiquitous Comput., 2014

2012
Content-aware rate allocation for efficient video streaming via dynamic network utility maximization.
J. Netw. Comput. Appl., 2012

Content-Aware Rate Control for Video Transmission with Buffer Constraints in Multipath Networks.
Proceedings of the 5th International Conference on New Technologies, 2012

2011
Quasi-Optimal Network Utility Maximization for Scalable Video Streaming
CoRR, 2011

2010
Utility-proportional bandwidth sharing for multimedia transmission supporting scalable video coding.
Comput. Commun., 2010

2009
Optimization bandwidth sharing for multimedia transmission supporting scalable video coding.
Proceedings of the 34th Annual IEEE Conference on Local Computer Networks, 2009

A Suboptimal Network Utility Maximization Approach for Scalable Multimedia Applications.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009


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